Mexican Social Security Institute
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 339
- Infectious Diseases 1.3k
- COVID-19 Clinical Research Studies 313
- Tuberculosis Research and Epidemiology 246
- Amoebic Infections and Treatments 229
- Top scholars
- Fernando Guerrero‐RomeroMartha Rodríguez‐MoránLuis E. Simental‐MendíaJorge SalmerónMarcos VelascoAlfredo Ulloa‐AguirreFrancisco VelascoJaime Tortoriello
- Journals
- Archives of Medical Research (506 papers)International Journal of Molecular Sciences (157 papers)PLoS ONE (144 papers)Journal of Ethnopharmacology (128 papers)Molecules (91 papers)
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
Mexican Social Security Institute
18.8k papers receiving 308.6k citations
Peers
Comparison fields: 5 of 243
- Endocrinology, Diabetes and Metabolism 21k
- Rheumatology 12.4k
- Reproductive Medicine 9.1k
- Infectious Diseases 15.5k
- Epidemiology 24.8k
Countries citing scholars working at Mexican Social Security Institute
This map shows the geographic impact of research produced by authors working at Mexican Social Security Institute. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Mexican Social Security Institute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mexican Social Security Institute more than expected).
Fields of papers published by authors at Mexican Social Security Institute
This network shows the impact of papers affiliated with Mexican Social Security Institute at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Mexican Social Security Institute at the time of their publication.
About Mexican Social Security Institute
In recent decades, authors affiliated with Mexican Social Security Institute have published 21.1k papers, which have received a total of 308.7k indexed citations . Scholars at this organization have produced 1.3k papers in Endocrinology, Diabetes and Metabolism, 1.3k papers in Infectious Diseases, 806 papers in Rheumatology, 1.8k papers in Epidemiology and 524 papers in Nephrology on the topics of Systemic Lupus Erythematosus Research (375 papers), Cervical Cancer and HPV Research (353 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (339 papers), COVID-19 Clinical Research Studies (313 papers), Tuberculosis Research and Epidemiology (246 papers), Dialysis and Renal Disease Management (233 papers), Amoebic Infections and Treatments (229 papers) and Sperm and Testicular Function (214 papers). Their work is cited by papers focused on Endocrinology, Diabetes and Metabolism (21k citations), Rheumatology (12.4k citations), Reproductive Medicine (9.1k citations), Infectious Diseases (15.5k citations) and Epidemiology (24.8k citations). Authors at Mexican Social Security Institute collaborate with scholars in Mexico, United States and Spain and have published in prestigious journals including Archives of Medical Research, International Journal of Molecular Sciences, PLoS ONE, Journal of Ethnopharmacology and Molecules. Some of Mexican Social Security Institute's most productive authors include Fernando Guerrero‐Romero, Martha Rodríguez‐Morán, Luis E. Simental‐Mendía, Jorge Salmerón, Marcos Velasco, Alfredo Ulloa‐Aguirre, Francisco Velasco, Jaime Tortoriello, Alejandro Zamilpa and Amirhossein Sahebkar.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.